AI/ML Engineer - Computer Vision

Job summary

Cambridge

Work model

Hybrid · 2 days home
1 week ago
Job description

Location and Type

  • Location: Cambridge, MA (Hybrid, 3 Days Onsite Weekly)
  • Type: Full-Time
  • Experience Level: Mid-Level

About The Opportunity

We are a venture-backed technology company building AI-powered solutions that bring real-time intelligence to complex operational environments. Our team is leveraging machine learning and computer vision to solve challenging real-world problems at scale. We seek a Mid-Level Machine Learning Engineer to help develop and deploy production-ready systems, taking ownership of projects across the full ML lifecycle.

Responsibilities

  • Design, train, and deploy ML and computer vision models for production.
  • Develop solutions for object detection, image classification, tracking, anomaly detection, etc.
  • Conduct experimentation to improve model performance and accuracy.
  • Optimize models for scalability, reliability, and real-time inference.
  • Build and maintain pipelines for training, evaluation, and deployment.
  • Collaborate with software engineers, product teams, and customers.
  • Troubleshoot and improve ML systems in production.
  • Stay current on emerging ML and CV technologies.

Qualifications

  • 2+ years professional experience in ML, computer vision, or related fields.
  • Strong Python programming skills.
  • Experience with PyTorch, TensorFlow, OpenCV, YOLO, scikit-learn, or similar.
  • Experience with computer vision techniques: object detection, segmentation, classification, tracking, image processing.
  • Understanding of supervised, unsupervised, and semi-supervised learning.
  • Strong debugging, optimization, and problem-solving skills.
  • Experience with Git and modern software development practices.
  • Bachelor's degree in Computer Science, Engineering, ML, or related field.

Preferred Qualifications

  • Master's or PhD in a related field.
  • Experience deploying ML models into production.
  • Experience with edge computing or real-time systems.
  • Familiarity with anomaly detection, autoencoders, or traditional CV techniques.
  • Experience in industrial, robotics, automation, or operational technology environments.

What We Offer

  • Competitive compensation and equity package.
  • Challenging, real-world ML problems.
  • High-impact role with ownership and visibility.
  • Collaborative, mission-driven engineering culture.
  • Hybrid work environment in Cambridge, MA.
  • Opportunity to shape the future of a rapidly growing company.

Note: Must be currently authorized to work in the U.S. without need for sponsorship. This job was first posted by CyberCoders on 06/10/2026. Applications accepted on an ongoing basis until position is filled.